Labeling Medical Scans via Prompt Decision Trees

10. The client device of claim 8, wherein the primary diagnosis indicated by the first one of the set of leaf nodes of the diagnosis prompt decision tree corresponds to a brain tumor, and wherein the at least one secondary finding indicated by the at least one leaf node correspond to at least one of: a fracture or a brain bleed.

12. The client device of claim 11, wherein the medical scan is a head CT scan, and wherein the plurality of leaf nodes of the set of leaf nodes indicates at least one lobe and at least one compartment.

13. The client device of claim 4, wherein automatically determining the starting characterization prompt is further based on the first one of the set of leaf nodes of the diagnosis prompt decision tree, and wherein automatically determining the starting localization prompt is further based on the first one of the set of leaf nodes of the diagnosis prompt decision tree.

15. The client device of claim 14, wherein automatically determining the starting diagnosis prompt is further based on the selected subset of the plurality of image slices.

17. The client device of claim 4, wherein the labeling application data further includes a plurality of additional question sets, and wherein execution of the labeling application by the at least one processor further causes the client device to automatically determine an additional question set from the plurality of additional question sets based on based on an anatomical region of the medical scan and further based on a modality of the medical scan.